Improving User Experience and Personalization in Ecommerce Websites

Session

Computer Science and Communication Engineering

Description

Personalization in E-commerce platforms is pivotal in elevating user experience, making it a core concern for web developers and E-commerce professionals. Its success hinges on the ability to create tailored, engaging interactions between users and online shopping environments. This study examines key factors influencing user experience, such as website design, usability, responsiveness, and user satisfaction. We conducted a comprehensive review of existing literature on E-commerce user experience, followed by an in-depth analysis of personalization's role. Specifically, we explore how user data, such as browsing history, preferences, and behavior can be leveraged to deliver personalized recommendations, content, and interactive features like chatbots. Furthermore, we investigate the application of advanced technologies, including artificial intelligence, machine learning, and data science, in enabling effective personalization. The study also addresses growing concerns around user privacy and data security in personalized E-commerce. We critically evaluate the ethical challenges and propose strategies to balance personalized experiences with user privacy protection. Through this comprehensive analysis of personalization techniques and their implications, this research provides actionable insights for developers and industry leaders seeking to create or enhance optimized online shopping platforms.

Keywords:

E-commerce, User Experience, Personalization, Artificial Intelligence, Data Privacy, Machine Learning

Proceedings Editor

Edmond Hajrizi

Location

UBT Kampus, Lipjan

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.399

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

Improving User Experience and Personalization in Ecommerce Websites

UBT Kampus, Lipjan

Personalization in E-commerce platforms is pivotal in elevating user experience, making it a core concern for web developers and E-commerce professionals. Its success hinges on the ability to create tailored, engaging interactions between users and online shopping environments. This study examines key factors influencing user experience, such as website design, usability, responsiveness, and user satisfaction. We conducted a comprehensive review of existing literature on E-commerce user experience, followed by an in-depth analysis of personalization's role. Specifically, we explore how user data, such as browsing history, preferences, and behavior can be leveraged to deliver personalized recommendations, content, and interactive features like chatbots. Furthermore, we investigate the application of advanced technologies, including artificial intelligence, machine learning, and data science, in enabling effective personalization. The study also addresses growing concerns around user privacy and data security in personalized E-commerce. We critically evaluate the ethical challenges and propose strategies to balance personalized experiences with user privacy protection. Through this comprehensive analysis of personalization techniques and their implications, this research provides actionable insights for developers and industry leaders seeking to create or enhance optimized online shopping platforms.